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Coding Skills

R/Rstudio
Python
SQL/PostgreSQL
Bash
Javascript/Typescript
Zsh

Languages

EN
IT
DE
ES

Disclaimer

Last updated on 2022-10-28.

Main

Davide Vitiello

A data enthusiast with the passion for automatization

Education

MSc

ETH Zürich

Zürich, CH

2020 - 2017

  • Focused on Data Science and Data Engineering, Dimensionality Reduction and Statistics.
  • Tutored by Bradley Nelson, piooneer of Nanorobots.

BSc

Tor Vergata

Rome, IT

2017 - 2014

  • Thesis: Large graphs interactions visualization of complex networks based on OWL semantic knowledge. (JS,D3.js,OWL,SPARQL).

Positions Covered

Lead data scientist

Rejuvenate Biomed

Hasselt, BE

current - 2021

  • Multiomics, Quality Control of Data, Signature Inverse Matching (Omics) with Network Propagations and Random Walks.
  • Data ingestion, REST/GraphQL API, Data formatting and processing. ML: Text classification, Denoising, Text mining and NLP from publications.
  • My stack included Tensorflow, Tensorflow GPU with CONDA, Caret, Tidyverse, SciPy, Plumber, Apollo, Shiny, Apache Airflow and Docker.

Data scientist, Statistician

Liverpool University

London, UK

2021 - 2020

  • Partial and conditional datasets joining routines with trained conditional prioritization. Datasets analysis of statistical significance, d.sets combinatorial analysis, data visualization.
  • The data analysis was primarily done in R and Python, using mostly the libraries: tidyverse (R), pandas (Py).
  • The data visualization was primarily done with Javascript (D3.js) and R (ggplot2).

Full stack web developer, Server admin (AWS)

CyQuant AG

Zürich, CH

2018 - 2017

  • Quantitative analysis to quantify cyber risk for insurers / reinsurers.
  • Visualization and plotting of quantitative data (MongoDB + Angular + D3.js)
  • My stack included Javascript, Angular, SQL, MongoDB and Amazon AWS prioprietary tools.